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Ceph Cookbook

You're reading from   Ceph Cookbook Practical recipes to design, implement, operate, and manage Ceph storage systems

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Product type Paperback
Published in Nov 2017
Publisher Packt
ISBN-13 9781788391061
Length 466 pages
Edition 2nd Edition
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Authors (3):
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Vikhyat Umrao Vikhyat Umrao
Author Profile Icon Vikhyat Umrao
Vikhyat Umrao
Michael Hackett Michael Hackett
Author Profile Icon Michael Hackett
Michael Hackett
Karan Singh Karan Singh
Author Profile Icon Karan Singh
Karan Singh
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Toc

Table of Contents (15) Chapters Close

Preface 1. Ceph – Introduction and Beyond FREE CHAPTER 2. Working with Ceph Block Device 3. Working with Ceph and OpenStack 4. Working with Ceph Object Storage 5. Working with Ceph Object Storage Multi-Site v2 6. Working with the Ceph Filesystem 7. Monitoring Ceph Clusters 8. Operating and Managing a Ceph Cluster 9. Ceph under the Hood 10. Production Planning and Performance Tuning for Ceph 11. The Virtual Storage Manager for Ceph 12. More on Ceph 13. An Introduction to Troubleshooting Ceph 14. Upgrading Your Ceph Cluster from Hammer to Jewel

Ceph FS – a drop-in replacement for HDFS

Hadoop is a programming framework that supports the processing and storage of large data sets in a distributed computing environment. The Hadoop core includes the analytics MapReduce engine and the distributed file system known as Hadoop Distributed File System (HDFS), which has several weaknesses that are listed as follows:

  • It had a single point of failure until the recent versions of HDFS

  • It isn't POSIX compliant

  • It stores at least three copies of data

  • It has a centralized name server resulting in scalability challenges

The Apache Hadoop project and other software vendors are working independently to fix these gaps in HDFS.

The Ceph community has done some development in this space, and it has a filesystem plugin for Hadoop that possibly overcomes the limitations of HDFS and can be used as a drop-in replacement for...

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